Bibliographic record
Abstract
This introduction to the special issue focuses on the messiness of biopolitics. The biopolitical is a composite mixture of heterogeneous, and sometimes conflicting, forces, discourses, institutions, laws, and practices that are embedded in and animated by material social relations. In the now extensive literature on biopolitics, our biopolitical era is characterized by the blending and mixing of what were previously thought of as separate realms: life is biologized, politics is biologized and biology is politicized, life and politics have been economized, and making life is intertwined with making death. This article provides a general overview of two strains of these biopolitical entanglements. It begins by examining the largely French and Italian focus on how politics and life have become economized in contemporary neoliberalism. We then turn to the mainly Anglo-American focus on the biologization of life. It concludes by taking up the central problem that arises from the messiness of biopolitics: whither the political of the biopolitical economy of life? Is there such a thing as the political proper in our era? If not, then what type of politics must be deployed to address the issues of our biopolis?
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.027 | 0.007 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".